Hybrid Metaheuristics (eBook, PDF)
eBook, PDF

Hybrid Metaheuristics (eBook, PDF)

An Emerging Approach to Optimization

Redaktion: Blum, Christian; Sampels, Michael; Roli, Andrea
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Optimization problems are of great importance in many fields. They can be tackled, for example, by approximate algorithms such as metaheuristics. Examples of metaheuristics are simulated annealing, tabu search, evolutionary computation, iterated local search, variable neighborhood search, and ant colony optimization. In recent years it has become evident that a skilled combination of a metaheuristic with other optimization techniques, a so called hybrid metaheuristic, can provide a more efficient behavior and a higher flexibility. This is because hybrid metaheuristics combine their advantages ...

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